Coze Workflow Development
đ Platform Introductionâ
Coze is a powerful AI workflow development platform. Through this tutorial, you will learn how to build a complete AI-driven workflow.
Tutorial Videosâ
đĨ Environment Setup Tutorial 1
đĨ Environment Setup Tutorial 2
đĨ Environment Setup Tutorial 3
đ¯ Learning Objectivesâ
Through this tutorial, you will master:
- â Creating complete Coze workflows
- â Implementing automatic webpage content retrieval
- â Using AI to generate high-quality summaries
- â Saving data to Notion
đ ī¸ Environment Preparationâ
Notion Configurationâ
1. Create Integrationâ
- Create Integration
- Page Authorization
- Visit Notion Developers
- Click "Create new integration"
- Fill in integration information:
- Name: Article Summary
- Associated workspace: Select your workspace
- Save the generated Integration Token
- Create a new Notion page
- Click Share button in top right
- Select and add your integration
2. Get Page IDâ
// Notion page URL format
https://notion.so/workspace/page-title-32-character-string
// Extract 32-character string as page_id
const pageId = url.match(/[a-f\d]{32}/)[0];
Coze Configurationâ
1. Create Projectâ
- Visit Coze website and login
- Create new workflow project
- Configure basic project information
2. Required Nodesâ
- đ Browse Node - Web scraping
- đ¤ LLM Node - Generate summaries
- đ Text Processing Node - Text processing
- đž Write Page Node - Notion integration
đ§ Workflow Constructionâ
1. Browse Node Configurationâ
Node Functionâ
- Visit specified URL
- Extract webpage content
- Handle different types of webpages
Parameter Settingsâ
// url parameter configuration
{
"url": "{{input}}",
"enforce_crawl": true
}
Output Structureâ
{
"code": 200,
"message": "success",
"plugin_observation": {
"observation": "Actual webpage content",
"natural_language_desc": "Content description information"
}
}
2. LLM Node Configurationâ
System Promptâ
You are a professional article summarizer. Your task is to read the provided article and create a CONCISE summary that:
- Captures only the most essential points (max 2-3 key points)
- Uses very concise language
- Keeps the total output under 1500 characters
- Maintains clarity while being brief
- Includes a short title
Format your response as:
Title: [Short Article Title]
Summary: [Your concise summary in 1-2 paragraphs]
Key Points:
- [Point 1]
- [Point 2]
- [Point 3]
User Promptâ
Please provide a summary of the following article:
{{browse.plugin_observation.observation}}
3. Text Processing Node Configurationâ
Input Parametersâ
{
"String1": "{{llm.output.output}}"
}
Text Templateâ
=========================================
Article Summary
=========================================
{{String1}}
=========================================
4. Write Page Node Configurationâ
Notion Parametersâ
{
"page_id": "Your Notion page ID",
"text": "{{Text Processing.output}}"
}
đ¨ Optimization Strategiesâ
Prompt Optimizationâ
- Prompt Tips
- Quality Assurance
- Use clear role definitions
- Set specific output requirements
- Maintain prompt consistency
- Regularly update and optimize prompts
- Establish quality evaluation criteria
- Conduct A/B testing comparisons
- Collect user feedback
- Continuous optimization improvement
Performance Monitoringâ
Response Time Monitoringâ
const metrics = {
browse_time: 'Scraping time',
llm_time: 'AI processing time',
storage_time: 'Storage time',
total_time: 'Total time'
};
Optimization Goalsâ
- Web scraping < 3 seconds
- AI processing < 5 seconds
- Data storage < 2 seconds
đĢ Common Issuesâ
Network Issuesâ
- URL Inaccessible: Check URL format and network connection
- Incomplete Content Retrieval: Adjust enforce_crawl settings
- Authorization Verification Failed: Check Token validity
Processing Issuesâ
- Format Parsing Error: Optimize prompt settings
- Character Encoding Issue: Adjust text processing parameters
- Content Truncation Error: Increase text length limit
đ¯ Testing and Optimizationâ
Functional Testingâ
Input Validationâ
- Test different URL formats
- Verify special character handling
- Check error handling mechanisms
- Test boundary conditions
Process Validationâ
- Node connection correctness
- Data transfer completeness
- Exception handling effectiveness
- Output format standardization
Performance Testingâ
Concurrency Testingâ
- Multiple URL simultaneous processing
- Batch task execution
- High-frequency request handling
Resource Monitoringâ
- Memory usage
- CPU utilization
- API call frequency
đ Best Practicesâ
Daily Maintenanceâ
- Regularly check functional completeness
- Monitor error logs
- Update and optimize prompts
- Adjust processing strategies
Continuous Optimizationâ
- Collect user feedback
- Analyze usage data
- Optimize processing flow
- Expand feature capabilities
đ Development Processâ
Workflow Features
- Automated article summary generation
- Structured data storage solution
- Scalable system architecture
- Efficient processing flow
Through this Coze workflow project, you will master how to build a complete AI-driven workflow, from web scraping to intelligent summary generation, to data storage - the full development process.